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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Smart Grids
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1484676
This article is part of the Research Topic Enhancing Resilience in Smart Grids: Cyber-Physical Systems Security, Simulations, and Adaptive Defense Strategies View all 16 articles

Optimal Configuration Method for Energy Storage in Distribution Networks for Enhancing Power Supply Capability

Provisionally accepted
Guangzeng Yu Guangzeng Yu Yixuan Chen Yixuan Chen *Xue Shen Xue Shen
  • Yunnan Power Grid Co. Ltd, Wenshan, Yunnan, China

The final, formatted version of the article will be published soon.

    To address the planning challenges of integrating energy storage into distribution networks, this paper proposes an optimal configuration method for energy storage in distribution networks aimed at enhancing power supply capability. Firstly, a total supply capability (TSC) curve model for distribution networks with integrated energy storage is introduced, which effectively represents the comprehensive power supply capability of distribution networks. Based on the TSC curve, the critical component is identified. Secondly, an optimal configuration method for energy storage with three phases is proposed to enhance the TSC curve: i) Identify the critical component; ii) Develop a preliminary configuration scheme for energy storage integration into the distribution network based on the critical component; iii) Determine the optimal energy storage configuration to improve the TSC curve. Finally, the effectiveness of the proposed method is verified by the IEEE 33-node case. The proposed method can effectively determine the optimal configuration for energy storage integration, significantly enhancing the complete power supply capability of the distribution network. This paper provides guidance on energy storage configuration in distribution networks, contributing to the efficient and low-carbon operation of the system.

    Keywords: Distribution network, Power supply capability, energy storage, optimal configuration, enhance

    Received: 22 Aug 2024; Accepted: 29 Nov 2024.

    Copyright: © 2024 Yu, Chen and Shen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Yixuan Chen, Yunnan Power Grid Co. Ltd, Wenshan, Yunnan, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.